Multiscale reconstruction of porous media based on multiple dictionaries learning
نویسندگان
چکیده
Digital modeling of the microstructure is important for studying physical and transport properties porous media. Multiscale media can accurately characterize large-pores fine-pores in a large-FoV (field view) high-resolution three-dimensional pore structure model. This paper proposes multiscale reconstruction algorithm based on multiple dictionaries learning, which edge patterns fine-pore from homology are introduced into low-resolution to build fine The qualitative quantitative comparisons experimental results show that similar real terms complex geometry surface morphology. geometric, topological permeability almost identical those structures. experiments also demonstrate proposal capable without regard size input. work provides an effective method
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ژورنال
عنوان ژورنال: Computers & Geosciences
سال: 2023
ISSN: ['1873-7803', '0098-3004']
DOI: https://doi.org/10.1016/j.cageo.2023.105356